Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152713
Title: Resilient multitask distributed adaptation over networks with noisy exchanges
Authors: Wang, Chengcheng
Tay, Wee Peng
Wei, Ye
Wang, Yuan
Keywords: Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2020
Source: Wang, C., Tay, W. P., Wei, Y. & Wang, Y. (2020). Resilient multitask distributed adaptation over networks with noisy exchanges. 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). https://dx.doi.org/10.1109/SAM48682.2020.9104281
Project: MOE2018-T2-2-019
A19D6a0053
Abstract: We develop a resilient distributed strategy over multitask networks, where individual tasks are linearly related within each neighborhood, and information exchanges between neighboring agents are noisy. In the proposed strategy, each agent follows an adapt-then-project procedure to iteratively update its local estimate. In particular, weighted projection operators are utilized in the projection step in order to attenuate the negative effect of noisy exchanges on the cooperative inference performance. We motivate a strategy for computing the weights in a distributed and adaptive manner. Simulation results demonstrate that the proposed scheme shows good resilience against noise in the information exchange between agents.
URI: https://hdl.handle.net/10356/152713
ISBN: 9781728119465
DOI: 10.1109/SAM48682.2020.9104281
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/SAM48682.2020.9104281.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

Files in This Item:
File Description SizeFormat 
SAM2020_CWang.pdf307.92 kBAdobe PDFView/Open

Page view(s)

45
Updated on Jan 20, 2022

Download(s)

8
Updated on Jan 20, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.